Collaborative simulation method with spatiotemporal synchronization process control |
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Authors: | Yisheng Zou Guofu Ding Weihua Zhang Jian Zhang Shengfeng Qin John Kian Tan |
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Affiliation: | 1. School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China;2. State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China;3. School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China;Northumbria School of Design, Northumbria University, Newcastle upon Tyne NEI 8ST, UK;4. School of Mechanical and Construction Engineering, Northumbria University, Newcastle upon Tyne NE1 8ST,UK |
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Abstract: | When designing a complex mechatronics system, such as high speed trains, it is relatively difficult to effectively simulate the entire system’s dynamic behaviors because it involves multi-disciplinary subsystems. Currently, a most practical approach for multi-disciplinary simulation is interface based coupling simulation method, but it faces a twofold challenge: spatial and time unsynchronizations among multi-directional coupling simulation of subsystems. A new collaborative simulation method with spatiotemporal synchronization process control is proposed for coupling simulating a given complex mechatronics system across multiple subsystems on different platforms. The method consists of 1) a coupler-based coupling mechanisms to define the interfacing and interaction mechanisms among subsystems, and 2) a simulation process control algorithm to realize the coupling simulation in a spatiotemporal synchronized manner. The test results from a case study show that the proposed method 1) can certainly be used to simulate the sub-systems interactions under different simulation conditions in an engineering system, and 2) effectively supports multi-directional coupling simulation among multi-disciplinary subsystems. This method has been successfully applied in China high speed train design and development processes, demonstrating that it can be applied in a wide range of engineering systems design and simulation with improved efficiency and effectiveness. |
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Keywords: | design automation collaborative simulation space and time synchronization process control coupling algorithms mechatronic system design |
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